The most highly-cited authors who published papers on the topic of health behavior: A Bibliometric Analysis

Abstract

Background: Health behavior (HB) is an action taken by a person who pursues good health and prevents illness. Health behavior, thus, reflects a person's health beliefs and attracts, particularly, on published papers in academics. However, who is the most influential author (MIA) with highly-cited papers on HB remains unknown. Objective: The purpose of this study is to apply the authorship-weighted scheme (AWS) developed by authors to select the MIA on HB using the visual displays on Google Maps. Methods: We obtained 1,116 abstracts published between 2012 and 2016 from Medline based on the keywords of (health [Title]) and (behavior [Title] or behavior [Title]) on September 22, 2018. The author names, countries/areas, and Pubmed paper IDs were recorded. The AWS was applied to (1) select the most productive authors (MPA) using social network analysis (SNA); (2) discover the MIA using h-indexes and author impact factors (AIF) dispersed on Google Maps, and (3) display the countries/areas distributed for the x-index in geography. Pajek software was performed to determine the partition categories of clusters. Results: We found that the MPA and MIA are Matthew K Nock (US) and Erika A Waters (US) for the MPA and MIA, respectively. All visual representations that are the form of a dashboard can be easily displayed on Google Maps. The most influential countries are the US (=19.03) and Australia (=6.46) with the highest x-indexes. Readers are suggested to manipulate them on their own on Google Maps. Conclusion: Many individual researchers achievements (IRA) were determined using h-index, AIF, x-index, or other bibliometric indices without quantifying author contributions. We demonstrated visualized representations on Google Maps using the AWS developed by authors to measure authors influences in a specific discipline. The research approach using the AWS to quantify the authors contributions can be applied to measure IRA in the future.

The most cited articles on the topic of health behaviors in Google Trends research: a systematic review

“…All the 104 examined papers but two included data visualization to present the study results. For instance, a worldwide map examined country for assessing health and medicine related issues and found that the US data have been employed in the most (60) studies, while other countries include the UK (15), Australia (13), Canada (9), Germany (8), and Italy (7). The results are somewhat different from the visualization of our study (i.e., the US, Italy, the UK and China has shown in Figure 4.…”

“…Any individual or keyword lies in the center of the social net-work will determine its influence on the network and its speed to gain information. [30,31] 2.4 Tasks to report the feature on health behaviors in Google Trends research 2.4.1 What are the most number of author-defined keywords in the network Author-defined keywords were collected and analyzed using SNA to separate clusters. The most number of betweenness centrality in each cluster is presentative which is the most occurred frequency in the respective cluster.…”

“…[7] The online search queries have been popular in big data analytics for academic research. [8,9] The use of search traffic data from web-based sources can assist in facilitating a better understanding the Web-based behavior and behavioral changes. [10] Online search traffic data have been deemed as a good analyzer of internet behavior, while Google Trends [11] acts as a reliable tool in predicting changes in human behavior and as an accurate measure which is the publics interest.…”